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Applied Data Mining of the FDA Adverse Event Reporting System, FAERS, and the Japanese Adverse Drug Event Report Database, JADER: Signal Detection of Adverse Events by New Quinolones

Overview of attention for article published in Japanese Journal of Drug Informatics, June 2015
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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3 Dimensions

Readers on

mendeley
2 Mendeley
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Title
Applied Data Mining of the FDA Adverse Event Reporting System, FAERS, and the Japanese Adverse Drug Event Report Database, JADER: Signal Detection of Adverse Events by New Quinolones
Published in
Japanese Journal of Drug Informatics, June 2015
DOI 10.11256/jjdi.17.15
Authors

Kouichi Hosomi, Mari Arai, Mai Fujimoto, Mitsutaka Takada

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 September 2018.
All research outputs
#17,637,892
of 25,852,155 outputs
Outputs from Japanese Journal of Drug Informatics
#67
of 123 outputs
Outputs of similar age
#167,041
of 278,846 outputs
Outputs of similar age from Japanese Journal of Drug Informatics
#3
of 7 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 278,846 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.